Futures markets are a potentially valuable source of information about price expectations. Exploiting this information has proved difficult in practice, because time-varying risk premia often render the futures price a poor measure of the market expectation of the price of the underlying asset....

This paper investigates the predictive properties of import and export prices of commodities on the exchange rates. A period from 1993 to 2016 is considered. We find that forecasts of the exchange rate adding commodity export and import prices are superior to those neglecting these variables....

This paper presents a stochastic integrated model to forecast the German population and labour supply until 2060. Within a cohort-component approach, the population forecast applies principal components to birth, mortality, emigration and immigration rates. The labour force participation rates...

The aim of this paper is to demonstrate the relative performance of combining forecasts on inflation in the case of Tunisia. For that, we use a large number of econometric models to forecast short-run inflation. Specifically, we use univariate models as Random Walk, SARIMA, a Time Varying...

In this paper, I apply univariate and vector autoregressive (VAR) models to forecast inflation in Vietnam. To investigate the forecasting performance of the models, two naive benchmark models (one is a variant of a random walk and the other is an autoregressive model) are first built based on...

In this paper we investigate whether differences exist among forecasts using real-time or latest-available data to predict gross domestic product (GDP). We employ mixed-frequency models and real-time data to reassess the role of survey data relative to industrial production and orders in...

The notion of bounded rationality has received a considerable attention in the midst of debate over the usefulness of various macroeconomic models. In this paper we empirically seek to analyze the baseline New-Keynesian model with heterogeneous agents who may adopt various heuristics used to...

Pension economics has traditionally guided pension policy with the help of formal models based on individuals who think in a life cycle context with perfect foresight, full information, and in a time-consistent manner. This paper sheds light on selected aspects of pension economics when these...

In the immediate wake of the Great Recession we didn't see the disinflation that most models predicted and, subsequently, we didn't see the inflation they predicted. We show that these puzzles disappear in a Vector Autoregressive model that properly accounts for domestic and global factors. Such...

This paper analyses the distribution of long-term inflation expectations in the euro area using individual density forecasts from the ECB Survey of Professional Forecasters. We exploit the panel dimension in this dataset to examine whether this distribution became less stable following the Great...

This paper investigates the impact of the quality of online corporate reporting (OCR) by UK listed firms on analyst behavior. Using a proposed new OCR index, we find that higher quality of OCR is related to increased analyst following. Additionally, we find that the main OCR component that...

This paper sheds new light on the information content of monetary and credit aggregates for future price developments in the euro area. Overall, we find strong variation in the information content of these variables over time. We show that monetary and credit aggregates are very often selected...

The paper reports results of a survey among active forecasters of the German business cycle. Relying on 82 respondents from 37 different institutions, we investigate what models and theories forecasters subscribe to and find that they are pronounced conservative in the sense, that they...

We analyze whether there are negative (positive) long-term effects of austerity measures (stimulus measures) on potential output growth. Based on the approach of Blanchard and Leigh (2013) and Fatás and Summers (2016) and using a novel dataset of narratively identified fiscal policy shocks, we...

Analysis of monthly disaggregated data from 1978 to 2016 on US household in ation expectations reveals that exposure to news on in ation and monetary policy helps to explain in ation expectations. This remains true when controlling for household personal characteristics, their perceptions of the...

We propose a novel framework to analyse the macroeconomic impact of non-communicable diseases. We incorporate measures of disease prevalence into a human capital augmented production function, which enables us to determine the economic costs of chronic health conditions in terms of foregone...

We propose a novel framework to analyse the macroeconomic impact of noncommunicable diseases. We incorporate measures of disease prevalence into a human capital augmented production function, which enables us to determine the economic costs of chronic health conditions in terms of foregone gross...

The main goal of this research is to construct and assess forecast intervals for monthly US/EURO foreign exchange rate. The point forecasts used to build the intervals are based on a vector autoregression (VAR model) and on a Bayesian VAR model for data starting with the first month of 1999. The...

Regional banks as savings and cooperative banks are widespread in continental Europe. In the aftermath of the financial crisis, however, they had problems keeping their profitability which is an important quantitative indicator for the health of a bank and the banking sector overall. We use a...

This paper evaluates the predictive out-of-sample forecasting properties of six different economic uncertainty variables for both growth in aggregate M2 and growth in household-sector M2 in the U.S. using data between 1971m1 and 2014m12. The core contention is that economic uncertainty improves...

In the present paper we propose a new method, the Penalized Adaptive Method (PAM), for a data driven detection of structure changes in sparse linear models. The method is able to allocate the longest homogeneous intervals over the data sample and simultaneously choose the most proper variables...

Contrary to predictions that demand for cash will decline with the increased availability and use of non-cash payment means, currency demand has increased in the Euro area and the US over the past 15 years. Against this background, this short article summarizes recent findings from Jobst and...

In this paper, I apply univariate and vector autoregressive (VAR) models to forecast inflation in Vietnam. To investigate the forecasting performance of the models, two naive benchmark models (one is a variant of a random walk and the other is an autoregressive model) are first built based on...